The full text of this article

 

Improved real time A*-fuzzy controller for improving multi-robot navigation and its performance analysis
by P.K. Das; S.K. Pradhan; H.K. Tripathy; P.K. Jena
International Journal of Data Science (IJDS), Vol. 2, No. 2, 2017

 

Abstract: In this paper, we proposed a new hybrid technique for path planning of multi-robot using Improved real time A* algorithm and fuzzy logic controller (IAFLC). The proposed approach used fuzzy logic controller (FLC) to navigate mobile robots through different developed membership function and find the trajectory path for each robot by minimising time, energy, and distance as the cost function. The path planning of multi- robot is carried out in a grid-map or virtual grid environment using modified real time A* algorithm and fuzzy controller. Finally, the analytical and experimental results of the multi-robot path planning were compared to those obtained by FLC and improved A* in a similar environment. The Simulation and the Khepera environment result show outperforms of IAFLC as compared with FLC and improved A* with respect to cost matrix.

Online publication date: Thu, 22-Jun-2017

 

is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

 
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

 
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Science (IJDS):
Login with your Inderscience username and password:

 

    Username:        Password:         

Forgotten your password?


 
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

 
If you still need assistance, please email subs@inderscience.com